Since 2003, Humanware develops a GPS-based dedicated device that helps blind people to orient themselves and guides them to their destination. In this project, we want to enhance the user experience by providing a better understanding of the environment and interacting with the device in a more natural way. This project specifically addresses how the […]

This project involves interning for the Cansbridge Fellowship in Canada. The primary focus of the work-term will be to study the methods that such business used to scale from inception to present day in Asia virtually while interning for the Cansbridge fellowship. The methods of growth will focus on three aspects: (i) access to early […]

Although blockchain is gaining momentum in the industry, practitioners still struggle with the technical aspects of implementing blockchain-based applications. This task requires deep knowledge of blockchain technology, a scarce skill due to its novelty. This project proposes an approach based on the combination of software product lines and blockchain technology to automatically generate on-the-shelf blockchain […]

The research aims to develop a device technology and software to recover surface information from a handheld scanner. The idea is to combine pre-existing object analysis technologies with a local device capable of reconstructing an objects shape from data collected by simple (shelf component) electronics as the device is passed over the object in the […]

Big data refers to a class of applications that operate on large amounts of data. One paradigm that fits the big data applications category is the Internet of Things (IoT). Millions of IoT devices continuously produce data and exchange information to support critical applications in different scenarios, such as smart cities and smart homes. As […]

Les actifs, qu’ils soient des machines industrielles, les équipements médicaux, des bâtiments, des équipements informatiques, des infrastructures de transport, etc., ont une durée de vie. Malgré la variabilité de leur performance au cours de leur cycle de vie, les gestionnaires souhaitent que ces actifs conservent leur valeur marchande au maximum tout en minimisant les coûts […]

Berkindale Analytics is a cloud-based company and wants to create a next-generation platform to provide both market data and packaged analytics to financial clients via direct download, interface, and dashboards accessible from a web portal. It is distinguished by its service arm that engages in data discovery, new analytics design, and ETL (“Extract, Transform, and […]

At Lerna IA, we are building a private federated learning platform for mobile applications. Our technology allows mobile-first companies to learn about their app users without violating their privacy. Our novel security architecture speeds up the federated learning process by at least 50x, rendering it practical for real-world mobile set-ups by running the whole ML […]

Nous avons actuellement un prototype de systeme de vision artificielle base sur des reseau de neurones profonds entra1ne sur notre jeu de donnees proprietaire qui permet d’identifier les zones de construction et de detecter et lire les panneaux de limite de vitesse. Dans notre prochain de R&D, nous souhaitons tirer partie de notre reseau de […]

In a number of data analytics domains, there is a need for detecting the situations when something outside of the normal conditions is happening. The goal of this project is to develop novel algorithms that learn to distinguish these normal and anomalous patterns through minimal interaction with a human user, while allowing complex data patterns […]

The extensive use of coal-based energy sources to cater to industrialization and rising population in the last several decades is leading to global warming and severe climate changes, which has motivated researchers to harness renewable energy resources. Among the existing renewable energy resources, solar energy is the most viable candidate to reduce fossil fuels in […]

The objective of this research proposition is to estimate a turbine labyrinth seal displacement from the commissioning sensors using signal coming from other sensors; ideally sensors that would be keep for continuous monitoring using deep learning technics.